Showing 61-80 of 127 projects
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
VideoRAG is a large-language-model-based system that enables chatting with long-form video content.
A conversational knowledge base tool built with TiDB Serverless Vector Storage for AI-powered workflows.
A minimal Agentic RAG (Retrieval-Augmented Generation) agent built with LangGraph, for developers to learn RAG quickly.
All-in-one platform for search, recommendations, RAG, and analytics offered via API for vibe coders
Open-source library for training and running inference with ColVision models for vision-language retrieval and generation.
FeatureBase is a fast analytical database built on bitmaps, perfect for ML and data-intensive applications.
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
A streamlined framework for efficient evaluation and performance benchmarking of large models like LLMs and VLMs.
This repository provides advanced techniques and cookbooks for building Retrieval-Augmented Generation (RAG) systems.
AI-native database unifying vector, text, and structured data for hybrid search and in-database AI workflows.
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure for vibe coders.
Hindsight is an agent-based memory system that aims to work like human memory, built for AI developers.
PIKE-RAG is a specialized knowledge extraction and reasoning framework for AI-powered applications.
An original implementation of SELF-RAG, a technique for learning to retrieve, generate, and critique through self-reflection.
A research project that provides a memory solution for users, teams, and applications.
A powerful AI-driven tool to query, understand, and edit complex codebases across multiple languages in a monorepo.
A Python library for web crawling and RAG capabilities for AI agents and AI coding assistants.
A developer-focused platform for text-to-speech, RAG, and LLMs, with local-first architecture.
Open-source embedding and re-ranking models for Netease Youdao's RAG (Retrieval-Augmented Generation) products.
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